Tensorflow implementation of crowd counting using CNNs from overhead surveillance cameras.

A Java flow analysis tool for SGX data sensitivity. This is my final year project.

A nDPI wrapper by golang based on CGO

Real-time network intrusion detection system using Zeek flow logs and machine learning (IsolationForest). Detects threats with both signature-based and anomaly-based techniques trained on the CSE-CIC-IDS2018 dataset.

Curated list of NetFlow, network telemetry, flow analysis, JA3/JARM fingerprinting, Zeek tooling, and packet investigation resources for threat hunting and cyber operations.

Real-time CICFlowMeter-like flow feature extractor built with Python PyShark. Extracts 97+ Real-time network flow feature extractor inspired by CICFlowMeter. Extracts 97+ flow features including transport and application-layer metrics from live traffic and exports them to CSV in real time.

Implementation of a Dynamic Flow Analysis for JavaScript

Flow-level behavioural detection of command-and-control beaconing under timing jitter, size variation, burst traffic, hard benign profiles, and CTU-13 public-data domain shift. Includes synthetic benchmarking, interpretable/statistical/anomaly/supervised baselines, minimum-evidence analysis, CTU-native validation, and report-ready results.

Packet capture and analysis implemented by C

1P1Q screening estimates the complex voltage V vector following a disturbance. This project considers either an outage if generator 2 or generator 3 , but not both, affecting the voltage. The program flow and algorithm is as follows

AI-powered Network Intrusion Detection System — real-time flow analysis with CNN-BiLSTM, threat intelligence, and heuristic rules. Built with C++23, ONNX Runtime, PcapPlusPlus, and gRPC.

🌐 Explore essential tools and datasets for NetFlow and network telemetry, empowering threat hunters and analysts in packet-based investigations.

Defensive offline network packet analysis lab using Python, synthetic packet logs, handcrafted protocol parser fixtures, flow summaries, detection rules, risk scoring, redaction, and Markdown/JSON reports with pytest, Ruff, GitHub Actions, and CodeQL.